How to Use R and Python Together? Try These 2 Packages {https://t.co/bBnt7pG52N} #rstats #DataScience
— R-bloggers (@Rbloggers) March 22, 2022
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— R-bloggers (@Rbloggers) March 21, 2022
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— R-bloggers (@Rbloggers) March 18, 2022
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— R-bloggers (@Rbloggers) March 20, 2022
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— R-bloggers (@Rbloggers) March 21, 2022
5 New books added to Big Book of R {https://t.co/0dhYP9eCM3} #rstats #DataScience
— R-bloggers (@Rbloggers) March 19, 2022
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— R-bloggers (@Rbloggers) March 20, 2022
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— R-bloggers (@Rbloggers) March 17, 2022
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— R-bloggers (@Rbloggers) March 23, 2022
How to Use https://t.co/oxocLwo2Hu in R with examples {https://t.co/HguhnjtShW} #rstats #DataScience
— R-bloggers (@Rbloggers) March 23, 2022
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— R-bloggers (@Rbloggers) March 21, 2022
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— R-bloggers (@Rbloggers) March 21, 2022
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— R-bloggers (@Rbloggers) March 8, 2022
How to Get Twitter Data using R {https://t.co/lJrAu2tCKh} #rstats #DataScience
— R-bloggers (@Rbloggers) March 5, 2022
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— R-bloggers (@Rbloggers) March 12, 2022
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— R-bloggers (@Rbloggers) March 1, 2022
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— R-bloggers (@Rbloggers) March 2, 2022
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— R-bloggers (@Rbloggers) February 27, 2022
Dual axis charts – how to make them and why they can be useful {https://t.co/xxw2uwEMvo} #rstats #DataScience
— R-bloggers (@Rbloggers) March 14, 2022
How to Use R and Python Together? Try These 2 Packages {https://t.co/bBnt7pG52N} #rstats #DataScience
— R-bloggers (@Rbloggers) March 22, 2022
Predictive Analytics Models in R {https://t.co/XlkJAaLryA} #rstats #DataScience
— R-bloggers (@Rbloggers) March 13, 2022
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— R-bloggers (@Rbloggers) February 25, 2022
Understanding the native R pipe |> {https://t.co/rOPUrHbmtR} #rstats #DataScience
— R-bloggers (@Rbloggers) March 15, 2022
---
title: "RBloggers Top Tweets"
output:
flexdashboard::flex_dashboard:
vertical_layout: scroll
source_code: embed
theme:
version: 4
bootswatch: yeti
css: styles/main.css
---
```{r setup, include=FALSE}
library(flexdashboard)
library(dplyr)
library(httr)
library(lubridate)
library(jsonlite)
library(purrr)
rbloggers <- fromJSON("data/rbloggers.json")
get_tweet_embed <- function(user, status_id) {
url <-
stringr::str_glue(
"https://publish.twitter.com/oembed?url=https://twitter.com/{user}/status/{status_id}&partner=&hide_thread=false"
)
response <- GET(url) %>%
content()
return(shiny::HTML(response$html))
}
```
Column {.tabset .tabset-fade}
-----------------------------------------------------------------------
### Top Tweets - 7 days {.tweet-wall}
```{r}
rblog_7 <- rbloggers %>%
mutate(created_at = as_date(created_at)) %>%
filter(created_at %within% interval(start = today() - 7, end = today())) %>%
slice_max(favorite_count + retweet_count, n = 12)
rblog_7_html <-
map2_chr(rblog_7$screen_name, rblog_7$status_id, get_tweet_embed)
shiny::HTML(stringr::str_glue("{rblog_7_html}"))
```
### Top Tweets - 30 days {.tweet-wall}
```{r}
rblog_30 <- rbloggers %>%
mutate(created_at = as_date(created_at)) %>%
filter(created_at %within% interval(start = today() - 30, end = today())) %>%
slice_max(favorite_count + retweet_count, n = 12)
rblog_30_html <-
map2_chr(rblog_30$screen_name, rblog_30$status_id, get_tweet_embed)
shiny::HTML(stringr::str_glue("{rblog_30_html}"))
```